#include <iostream>
#include "Dataset.h"
#include "Knn.h"
int main() {

	Dataset randomized_data(100, 3);
	randomized_data.Print();

	//Create a 2d vector a get prediction
	std::vector<float> value;
	value.push_back(.3f);
	value.push_back(.8f);



	Knn knn = Knn();
	knn.Fit(randomized_data);
	int prediction=knn.Predict(value,7);

	for (size_t i = 0; i < knn.Neighbors.size(); i++)
	{
		std::cout<<knn.Neighbors.at(i).first.at(0)<<"   " << knn.Neighbors.at(i).first.at(1) <<std::endl;
		std::cout << knn.Neighbors.at(i).second << std::endl;
	}
	std::cout << "Labl:"<<prediction;



}